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This is the first installment of a regular Q&A series with leading SCCEI-affiliated scholars about what the evidence tells us about China—and what’s missing from the debates shaping our understanding of the country. In this feature, economist Scott Rozelle explains why China's economic future may hinge on the hundreds of millions left out of its high-tech success story.
 


Scott Rozelle headshot

Scott Rozelle, Senior Fellow at the Freeman Spogli Institute for International Studies and Faculty Director of the Rural Education Action Program at the Stanford Center on China's Economy and Institutions, has spent decades studying China's rural and low-income populations. Author of Invisible China: How the Urban-Rural Divide Threatens China’s Rise, he examines why China's remarkable economic achievements have not translated into better opportunities for everyone, and what that means for the country's future.


 

1. How large is China’s low-income population, who are they, and what does economic life actually look like for them?


I think one of the things people outside China often don’t appreciate is just how many people are still struggling economically. We hear a lot about China’s growing middle class, and rightly so. But in 2020, China’s then-premier Li Keqiang pointed out that some 600 million Chinese had an average monthly income of just 1,000 yuan, or about $140. As Li himself observed, that’s barely enough to rent a room in a medium-sized Chinese city.

Who are these people? Many come from rural China. They tend to have relatively little formal education, and they work in construction, manufacturing, and increasingly, informal services. Ride-hailing drivers are one example. Many work 12-hour days or longer, amid growing competition and pressure on earnings.

The big issue is education across this workforce. One study we published shows only about 30% of China’s workforce had been to high school. Now compare that with countries that successfully moved from middle- to high-income status: on average, 72% of their workers had completed high school when they were still middle-income economies. Even countries that got stuck at middle-income levels averaged 36%. So China is starting with a less-educated workforce than many countries that never made the leap.

The big issue is education across this workforce—only about 30% of China’s workforce had been to high school.
Scott Rozelle

That’s a huge challenge for China. As the economy becomes more sophisticated, jobs increasingly require skills in math, science, computers, and language. Where are hundreds of millions of workers without those skills going to find decent jobs?

2. How have ordinary people’s views in China about opportunity and getting ahead changed?


For a long time, there was tremendous optimism in China, and for good reason. From the early 1990s through the early 2010s, the economy was growing at roughly 10% a year. Manufacturing and construction were booming, companies needed workers, and wages were rising. People could move from the countryside to the city, find work, and give their children opportunities they never had.

Here’s something interesting about inequality in China. For a long time, the gap between rich and poor was getting wider, but almost everyone was still getting ahead. Research by some of my Stanford colleagues found that between 1988 and 2018, the incomes of the poorest 10% of China’s adults increased fourfold. That’s extraordinary. Of course, people at the very top did much better—their incomes increased something like 30 times over the same period. But even people at the bottom were seeing their lives improve.

I think that helps explain why people tolerated so much inequality. If your own life is improving, you may not worry so much about how much richer someone else is getting. But what happens when that progress slows or stops?

In recent research with Martin Whyte at Harvard, we found a substantial increase in pessimism about future incomes and living standards, especially among people with less education.

Part of the explanation is what’s happened to the labor market. As wages rose, companies increasingly turned to contractors and informal workers to reduce costs. Our research found that informal employment rose from 33% of total employment in 2004 to 56% in 2017. That means fewer benefits, less job security, and more uncertainty.

Today, many less-educated workers are competing for jobs in delivery, ride-hailing, and other informal services. And when more people chase the same jobs, earnings come under pressure.

For decades, people assumed that if they worked hard, their lives would get better. Increasingly, they’re no longer so sure.

3. Are China’s high-tech successes and the struggles of its low-income population separate stories—or two sides of the same economic model?


I would say they’re both. Some of the problems facing low-income workers started long before the current push into high technology. But China’s emphasis on advanced manufacturing has intensified some of those challenges.

Think about what drove China’s growth for the first several decades of reform. China opened up to trade and foreign investment and became the world’s factory. Then came an enormous property boom, supported in part by local governments that depended on land sales for revenue and wanted to meet growth targets.

All of that created tremendous demand for relatively unskilled labor. You didn’t need a college degree to work in a factory or on a construction site. But over time, companies increasingly relied on informal labor, and wages for less-skilled workers began to stagnate.

Now add automation, robotics, and AI.

This past spring, I took a group of Stanford students to visit factories in China. We saw factories producing more than they had five years earlier, but with fewer than 20% as many workers. And nearly everyone on the factory floor had a vocational college or university degree.

We even visited a so-called dark factory. The production floor doesn’t need lights because there aren’t any workers there. Robots and AI do the manufacturing, while a handful of college graduates monitor everything from a control room.

It’s remarkable. China is becoming incredibly good at producing sophisticated goods. But these factories don’t need many workers, and the workers they do need are highly educated.

China’s technological success is real. But it doesn’t necessarily translate into better opportunities for the hundreds of millions of people who helped build the old economy.
Scott Rozelle

So China’s technological success is real. But it doesn’t necessarily translate into better opportunities for the hundreds of millions of people who helped build the old economy.

4. As China’s era of property-led growth ends, Beijing is betting on advanced manufacturing, green tech, pharma, and other new industries. Are they creating jobs for workers from the old economy?


The short answer is no—not nearly enough, and certainly not for the workers who need those jobs most.

China’s manufacturing output continues to grow, but manufacturing employment began declining in the mid-2010s. That’s what happens when factories become more automated: you can produce more with fewer people.

But the much bigger shock has come from the collapse of the property sector. For years, construction was an enormous source of employment for workers with relatively little education. Now that sector has contracted dramatically. Official figures indicate that roughly 10 million migrant workers left construction in 2022 and 2023 alone.

So where do these workers go?

You might think they could return to the countryside and start farming again. But nearly 80% of rural workers under 40 have never farmed. They don’t know how, and they have no intention of doing so.

Instead, many are moving into the informal economy—delivering food, driving cars, doing whatever work they can find. As more people enter these sectors, competition increases and earnings come under pressure.

Meanwhile, the new industries China is investing in—electric vehicles, semiconductors, pharmaceuticals—need relatively few workers, and many of those jobs require specialized skills.

The new industries China is investing in—electric vehicles, semiconductors, pharmaceuticals—need relatively few workers, and many of those jobs require specialized skills.
Scott Rozelle

So there’s a huge mismatch. China is investing heavily in the industries of the future, but those industries aren’t creating enough opportunities for workers displaced from the industries of the past.

And that matters enormously. If hundreds of millions of people see their incomes stagnate or decline, that’s going to affect consumption, economic growth, and potentially social stability.

5. Can China sustain its economic success without substantially improving the prospects of “the rest”?


I think this is really the central question.

China has accomplished extraordinary things. It’s a global leader in electric vehicles, batteries, solar panels, and increasingly robotics and AI. Nobody should underestimate those achievements.

But there’s a difference between having world-class industries and becoming a high-income economy.

Look at countries that successfully made that transition—South Korea, Singapore, Ireland, and others. They had relatively well-educated workforces. They weren’t just producing sophisticated goods; they were creating economies in which large shares of the population had the skills to participate in higher-productivity work.

China faces a much harder challenge because hundreds of millions of its workers have relatively little education.

And there’s another issue: China’s government does much less than governments in other countries to redistribute income. One study found that taxes and transfers reduce the income share of China’s richest 10% by only about 4%. In the United States, that reduction is closer to 20%, and in France it’s about 25%.

And redistribution isn't just about fairness. Lower-income households tend to spend a larger share of any additional income they receive, while wealthier households are more likely to save it. That means putting more money in the hands of poorer families could also help China boost household consumption

So could China do more through its tax system, social insurance, and public services, rather than relying so heavily on growth to lift people’s incomes?

If a large share of the population isn’t seeing meaningful income growth, household consumption will remain constrained. That makes it harder to sustain growth through domestic demand. And growing pessimism about the future creates social and political challenges as well.

The World Bank has shown that relatively few countries successfully escape the middle-income trap. Is China headed in that direction? Not inevitably. It has enormous strengths, including its technological capabilities, infrastructure, and manufacturing base.

But I don’t think China can simply innovate its way out of this problem. It also has to improve the education, skills, and economic opportunities of the hundreds of millions of people who aren’t participating in the high-tech boom.

I don’t think China can simply innovate its way out of this problem. It also has to improve the education, skills, and economic opportunities of the hundreds of millions of people who aren’t participating in the high-tech boom.
Scott Rozelle

China’s future won’t be determined just by how successful its best companies become. It will also depend on what happens to the rest of its population.



This article was edited for clarity and brevity with support from ChatGPT. All outputs were reviewed by humans and the final expression was produced by the authors.

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Scott Rozelle explains why China's economic future may hinge on the hundreds of millions left out of its high-tech success story.

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The emergence of artificial intelligence (AI) has heightened interest in personalizing computer assisted learning (CAL) programs to tailor their instruction to individual students. Despite the proliferation of AI-driven CAL programs, evidence for their effectiveness remains limited. We present findings from a field experiment in rural China examining whether an AI-driven personalized CAL program improves student achievement. We randomly assign 8647 students from 315 primary school classes to one of three treatment arms: (i) AI-CAL, (ii) non-personalized CAL (active control), and (iii) non-CAL educational activities (pure control). Results indicate that AI-CAL does not significantly improve achievement, with estimates precise enough to rule out non-trivial positive effects. This finding holds across the difficulty of assessment items and across the baseline achievement of students. If anything, AI-CAL might be less effective than non-personalized CAL for students in the middle tercile of baseline achievement. These findings call for caution when scaling AI-driven educational technologies.
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Economics of Education Review
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Tianli Feng
Prashant Loyalka
Scott Rozelle
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Background: 
Early motherhood is a critical yet vulnerable life stage shaped by intersecting individual, familial, societal and structural challenges. Existing research often overlooks the multiple everyday stressors mothers experience across ecological domains. This study explores the lived experiences of mothers in urban China, using an ecological framework to examine the multi-level challenges they face during the first three years after childbirth.

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In-depth interviews were conducted with 50 mothers of children aged 0–3 years recruited from nine community and township health centers and one childcare program for a migrant community in Shanghai, China, during well-child visits. Interviews were guided by an ecological framework and analyzed using thematic analysis.

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OBJECTIVES
This study examines whether and how caregiver mental health symptoms influence the impacts of a center-based parenting intervention on child development.
 
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We conducted a clustered randomized controlled trial across 100 rural villages in China between 2016 and 2019. Villages were randomly assigned to a treatment group that received weekly 1-on-1 parenting sessions through parenting centers or to a pure comparison group. A total of 2554 caregiver–child dyads with children aged 6 to 24 months were surveyed at baseline, and 2044 completed the endline survey after 1 year (follow-up rate: 80.0%). Child development was assessed using the Bayley Scales of Infant Development, Third Edition. Caregiver mental health was measured using the Depression Anxiety and Stress Scale-21. Ordinary least squares regressions with interaction terms were used for analysis.
 
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The intervention significantly improved cognitive (β = 0.17 SD; 95% CI 0.045–0.29) and language development (β = 0.10 SD; 95% CI 0.00–0.21) among children whose caregivers did not exhibit depressive symptoms at baseline. Positive cognitive effects were also observed among children of caregivers with low anxiety (β = 0.13 SD; 95% CI 0.00–0.26) or low stress (β = 0.15 SD; 95% CI 0.03–0.27). In contrast, no significant effects were detected across developmental domains among children whose caregivers exhibited mental health symptoms. Heterogeneous impacts were driven by differences in stimulating parenting practices rather than program attendance or parenting beliefs.
 
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SCCEI is thrilled to announce a new partnership with the Stanford Institute for Research in the Social Sciences (IRiSS) to launch a new, China-oriented Predoctoral Researchers Program. The program opens avenues for SCCEI-affiliated faculty to mentor students transitioning from undergraduate study who are interested in pursuing research on China. Predocs are appointed for a one-year term in residence on Stanford’s historic campus, where they conduct data-driven research designed by a SCCEI faculty member studying a specific aspect of China’s economy. Predocs are welcomed into two established communities at Stanford — IRiSS and SCCEI — giving them a built-in support system to navigate the Stanford ecosystem and get acquainted with all the university has to offer.

That community is already something inaugural predoc Miriam Shatto is looking forward to exploring. “Already, I’ve met so many interesting people in the IRiSS program who are all working on different things — psychologists, political scientists, people focusing on communications and social media, other people studying economics,” she said. “I think it’s a really rich community that enables me to explore other disciplines and discover what people my age are also working on.”

Paralleling IRiSS’ existing program, the new Predoctoral Researchers Program has three main goals:
 

  • Accelerate China-focused research;
  • Create opportunities for predocs to deepen their knowledge of China-specific topics and research methods, learn about options for advanced study, and build mentoring relationships to help launch their careers; and
  • Expand the diversity of perspectives, experiences, and backgrounds of individuals entering academia and industry.

SCCEI is pleased to welcome the first cohort of predoctoral researchers for the 2026-27 academic year:

Miriam Shatto headshot

Miriam Shatto, 2026-27 Predoctoral Researcher
 

Miriam Shatto is working with Professor Shanjun Li, joining his research program on the Economics for Sustainability and Energy Transition (eSET). She works on industrial decarbonization pathways, carbon accounting, renewable energy development, and the electric vehicle (EV) industry.

Miriam plans to pursue a PhD in economics after her predoc year. Though she hadn’t done research on China before, that was part of what drew her to the position. “I have an appreciation generally for the huge energy transition that China has undergone over the last 20 years. The growth in the EV industry has just been insane,” she said. “And I think, as Dr. Li frequently points out, it is so understudied.”

Noting that the topic may not get the attention it deserves from U.S. policymakers, she added, “There’s just a lot of work to be done there, and I’m always looking for a place where work can be done.”

I’m always looking for a place where work can be done.
Miriam Shatto, 2026-27 Predoctoral Researcher

She has also found a warm welcome in the eSET group. “I think everyone’s been incredibly welcoming. This is a group of people who are super kind and supportive, and it’s clearly very close-knit,” she said. “Dr. Li’s always holding little events for us, it’s clear that he really tries to foster a collaborative community.”


 

Zhao Guo headshot

Zhao Guo, 2026-27 Predoctoral Researcher
 

Zhao Guo is working under the mentorship of Professor Andrew Walder on his research defining the architecture of China’s corporate sector. This project is part of a larger effort that will eventually culminate in a book, tentatively titled The Rise of Industrial China, which will blend business history with the sociology of organizations and political economy analysis of China’s industrial sector.

Over the coming year, Miriam and Zhao will contribute to research that helps build understanding of China's economy, from its energy transition to its industrial past. We're excited to see what this first cohort does, and we look forward to growing the program in years to come.



This article was edited for clarity and brevity using Claude. All outputs were reviewed by humans and the final expression was produced by the author.

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Skyline Scholar (2026-27), Stanford Center on China's Economy and Institutions
Senior Adviser and Trustee Chair in Chinese Business and Economics, Center for Strategic and International Studies
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Scott Kennedy is senior adviser and Trustee Chair in Chinese Business and Economics at the Center for Strategic and International Studies (CSIS). A leading authority on the Chinese economy, his ongoing areas of focus include China’s high-tech drive, U.S.-China relations, and global economic governance. Kennedy has been traveling to China for 38 years. His major publications include The Power of Innovation: The Strategic Value of China’s High-Tech Drive (CSIS, March 2026); U.S.-China Scholarly Recoupling: Advancing Mutual Understanding in an Era of Intense Rivalry (CSIS, March 2024); (with Wang Jisi) Breaking the Ice: The Role of Scholarly Exchange in Stabilizing U.S.-China Relations (CSIS, 2023); China’s Uneven High-Tech Drive: Implications for the United States (CSIS, 2020); Global Governance and China: The Dragon’s Learning Curve (Routledge, 2018); The Fat Tech Dragon: Benchmarking China’s Innovation Drive (CSIS, 2017); and The Business of Lobbying in China (Harvard University Press, 2005). His commentaries and articles have appeared the New York Times, the Washington Post, the Wall Street Journal, Foreign Affairs, Foreign Policy, China Quarterly, and China Journal. Kennedy is co-organizer of the track-2 U.S.-China Global Economic Order (GEO) Dialogue, and he hosts the China Field Notes podcast, which features voices from on the ground in China.

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